Split (1)

train · 203k rows

node_id int64 0 76.9k	label int64 0 39	text stringlengths 13 124k	neighbors listlengths 0 3.32k	mask stringclasses 4 values
42,678	16	Title: RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search Abstract: Text-based person search aims to retrieve the specified person images given a textual description. The key to tackling such a challenging task is to learn powerful multi-modal representations. Towards this, we pro...	[ 26449, 41883, 40165 ]	Train
42,679	16	Title: Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners Abstract: Visual recognition in low-data regimes requires deep neural networks to learn generalized representations from limited training samples. Recently, CLIP-based methods have shown promising few-shot performance benef...	[ 22561, 7078, 18183, 36039, 42983, 4362, 17390, 5807, 33680, 25874, 10163, 11476, 27282, 45590, 4919, 4349 ]	Test
42,680	27	Title: Aquarium: A Fully Differentiable Fluid-Structure Interaction Solver for Robotics Applications Abstract: We present Aquarium, a differentiable fluid-structure interaction solver for robotics that offers stable simulation, accurately coupled fluid-robot physics in two dimensions, and full differentiability with re...	[]	Test
42,681	16	Title: Local-Global Transformer Enhanced Unfolding Network for Pan-sharpening Abstract: Pan-sharpening aims to increase the spatial resolution of the low-resolution multispectral (LrMS) image with the guidance of the corresponding panchromatic (PAN) image. Although deep learning (DL)-based pan-sharpening methods have a...	[]	Train
42,682	5	Title: Landscape of High-performance Python to Develop Data Science and Machine Learning Applications Abstract: Python has become the prime language for application development in the Data Science and Machine Learning domains. However, data scientists are not necessarily experienced programmers. While Python lets them ...	[]	Validation
42,683	30	Title: FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization Abstract: Automatic radiology report summarization is a crucial clinical task, whose key challenge is to maintain factual accuracy between produced summaries and ground truth radiology findings. Existing research adopts reinforcement ...	[ 3256, 3034, 519 ]	Train
42,684	2	Title: A Verified Efficient Implementation of the Weighted Path Order Abstract: The Weighted Path Order of Yamada is a powerful technique for proving termination. It is also supported by CeTA, a certifier for checking untrusted termination proofs. To be more precise, CeTA contains a verified function that computes for ...	[]	Validation
42,685	28	Title: IRS-Aided Overloaded Multi-Antenna Systems: Joint User Grouping and Resource Allocation Abstract: This paper studies an intelligent reflecting surface (IRS)-aided multi-antenna simultaneous wireless information and power transfer (SWIPT) system where an $M$-antenna access point (AP) serves $K$ single-antenna inf...	[]	Train
42,686	16	Title: GECCO: Geometrically-Conditioned Point Diffusion Models Abstract: Diffusion models generating images conditionally on text, such as Dall-E 2 and Stable Diffusion, have recently made a splash far beyond the computer vision community. Here, we tackle the related problem of generating point clouds, both uncondition...	[ 34000, 21324, 37997, 6351 ]	Train
42,687	4	Title: A Practical Deep Learning-Based Acoustic Side Channel Attack on Keyboards Abstract: With recent developments in deep learning, the ubiquity of microphones and the rise in online services via personal devices, acoustic side channel attacks present a greater threat to keyboards than ever. This paper presents a pra...	[]	Train
42,688	6	Title: Visualizing the Weird and the Eerie Abstract: In this brief essay, I reflect on how Mark Fisher's definitions of the weird and the eerie could be applied in communicative data visualization. I ask how visualization designers might elicit these two impressions when a viewer is engaging with multimodal representat...	[]	Test
42,689	28	Title: Application of Transformers for Nonlinear Channel Compensation in Optical Systems Abstract: In this paper, we introduce a new nonlinear channel equalization method for the coherent long-haul transmission based on Transformers. We show that due to their capability to attend directly to the memory across a sequenc...	[ 20580 ]	Train
42,690	27	Title: Socially Assistive Robots as Decision Makers in the Wild: Insights from a Participatory Design Workshop Abstract: Socially Assistive Robots (SARs) are becoming very popular every day because of their effectiveness in handling social situations. However, social robots are perceived as intelligent, and thus their ...	[]	Train
42,691	24	Title: The Double-Edged Sword of Big Data and Information Technology for the Disadvantaged: A Cautionary Tale from Open Banking Abstract: This research article analyses and demonstrates the hidden implications for fairness of seemingly neutral data coupled with powerful technology, such as machine learning (ML), using ...	[]	Validation
42,692	24	Title: MRFI: An Open Source Multi-Resolution Fault Injection Framework for Neural Network Processing Abstract: To ensure resilient neural network processing on even unreliable hardware, comprehensive reliability analysis against various hardware faults is generally required before the deep neural network models are dep...	[]	Train
42,693	28	Title: Monomial codes under linear algebra point of view Abstract: The monomial codes over a Galois field F_q that can be thought invariant subspaces are essential to us in this study. More specifically, we look into the link between monomial codes and characteristic subspaces and the decomposition of monomial codes in...	[]	Train
42,694	31	Title: CRUISE-Screening: Living Literature Reviews Toolbox Abstract: Keeping up with research and finding related work is still a time-consuming task for academics. Researchers sift through thousands of studies to identify a few relevant ones. Automation techniques can help by increasing the efficiency and effectivenes...	[ 16713 ]	Test
42,695	16	Title: Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation Abstract: Text-to-Image (T2I) generation with diffusion models allows users to control the semantic content in the synthesized images given text conditions. As a further step toward a more customized image creation applicatio...	[ 3690, 11820, 15983, 27184, 6162, 34074, 1244 ]	Validation
42,696	24	Title: NeuralFuse: Learning to Improve the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes Abstract: Deep neural networks (DNNs) have become ubiquitous in machine learning, but their energy consumption remains a notable issue. Lowering the supply voltage is an effective strategy for reducing ...	[]	Validation
42,697	16	Title: Remote Sensing Image Change Detection Towards Continuous Bitemporal Resolution Differences Abstract: Most contemporary supervised Remote Sensing (RS) image Change Detection (CD) approaches are customized for equal-resolution bitemporal images. Real-world applications raise the need for cross-resolution change de...	[ 27144, 2782 ]	Train
42,698	16	Title: SIESTA: Efficient Online Continual Learning with Sleep Abstract: In supervised continual learning, a deep neural network (DNN) is updated with an ever-growing data stream. Unlike the offline setting where data is shuffled, we cannot make any distributional assumptions about the data stream. Ideally, only one pas...	[ 4004, 2439, 41032, 35917, 41394, 43259 ]	Train
42,699	4	Title: SoK: Decoding the Super App Enigma: The Security Mechanisms, Threats, and Trade-offs in OS-alike Apps Abstract: The super app paradigm, exemplified by platforms such as WeChat and AliPay, has revolutionized the mobile app landscape by enabling third-party developers to deploy add-ons within these apps. These add...	[ 20787, 10972 ]	Test
42,700	28	Title: QoE-based Semantic-Aware Resource Allocation for Multi-Task Networks Abstract: In semantic communications, only task-relevant information is transmitted, yielding significant performance gains over conventional communications. To satisfy user requirements for different tasks, we investigate the semantic-aware re...	[ 45642 ]	Train
42,701	16	Title: ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection Abstract: Anomaly detection is crucial to the advanced identification of product defects such as incorrect parts, misaligned components, and damages in industrial manufacturing. Due to the rare observations and unknown types ...	[]	Train
42,702	16	Title: Automatic Reconstruction of Semantic 3D Models from 2D Floor Plans Abstract: Digitalization of existing buildings and the creation of 3D BIM models for them has become crucial for many tasks. Of particular importance are floor plans, which contain information about building layouts and are vital for processes su...	[]	Validation
42,703	10	Title: On Computational Mechanisms for Shared Intentionality, and Speculation on Rationality and Consciousness Abstract: A singular attribute of humankind is our ability to undertake novel, cooperative behavior, or teamwork. This requires that we can communicate goals, plans, and ideas between the brains of individuals...	[]	Test
42,704	4	Title: FairShare: Blockchain Enabled Fair, Accountable and Secure Data Sharing for Industrial IoT Abstract: —Industrial Internet of Things (IIoT) opens up a challenging research area towards improving secure data sharing which currently has several limitations. Primarily, the lack of inbuilt guarantees of honest behavi...	[]	Train
42,705	16	Title: Rotational augmentation techniques: a new perspective on ensemble learning for image classification Abstract: The popularity of data augmentation techniques in machine learning has increased in recent years, as they enable the creation of new samples from existing datasets. Rotational augmentation, in particular...	[]	Test
42,706	24	Title: On the improvement of model-predictive controllers Abstract: This article investigates synthetic model-predictive control (MPC) problems to demonstrate that an increased precision of the internal prediction model (PM) automatially entails an improvement of the controller as a whole. In contrast to reinforcement ...	[]	Train
42,707	4	Title: Understanding the RSA algorithm Abstract: With the emerging importance of cybersecurity, it will be beneficial for a wide community to understand some of the fundamental security mechanisms. The RSA algorithm is one of the essential algorithms used in public-key cryptosystems. Understanding the RSA algorithm req...	[]	Train
42,708	16	Title: Novel-view Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views Abstract: Hand-object interaction understanding and the barely addressed novel view synthesis are highly desired in the immersive communication, whereas it is challenging due to the high deformation of hand and heavy occlusion...	[]	Train
42,709	24	Title: CILF: Causality Inspired Learning Framework for Out-of-Distribution Vehicle Trajectory Prediction Abstract: Trajectory prediction is critical for autonomous driving vehicles. Most existing methods tend to model the correlation between history trajectory (input) and future trajectory (output). Since correlation i...	[ 8572 ]	Train
42,710	6	Title: DisPad: Flexible On-Body Displacement of Fabric Sensors for Robust Joint-Motion Tracking Abstract: The last few decades have witnessed an emerging trend of wearable soft sensors; however, there are important signal-processing challenges for soft sensors that still limit their practical deployment. They are error...	[]	Train
42,711	7	Title: Application of the Newton Time-Extracting Wavelet Transform as a chirp filter Abstract: The problem of detecting chirps is present in many applications of Signal Processing. Proper denoising, which involves filtering the signals after their acquisition, improves the efficacy of their detection. This manuscript d...	[]	Validation
42,712	25	Title: Ein neues Kodierschema als Basis für die klinische Beurteilung frühkindlicher Vokalisationen und Deep Acoustic Phenotyping Abstract: Zusammenfassung: Theoretischer Hintergrund: Die frühe verbale Entwicklung ist vor allem in ihrer Entstehungsphase noch nicht vollständig verstanden. Fragestellung: lässt sich ein z...	[]	Train
42,713	30	Title: TADA: Efficient Task-Agnostic Domain Adaptation for Transformers Abstract: Intermediate training of pre-trained transformer-based language models on domain-specific data leads to substantial gains for downstream tasks. To increase efficiency and prevent catastrophic forgetting alleviated from full domain-adaptiv...	[ 23811 ]	Train
42,714	10	Title: Mobile-Env: An Evaluation Platform and Benchmark for Interactive Agents in LLM Era Abstract: Diverse evaluation benchmarks play a crucial role to assess a wide range of capabilities of large language models (LLM). Although plenty of endeavors have been dedicated to building valuable benchmarks, there is still li...	[ 31153, 13700, 33220, 33477 ]	Validation
42,715	3	Title: Tube2Vec: Social and Semantic Embeddings of YouTube Channels Abstract: Research using YouTube data often explores social and semantic dimensions of channels and videos. Typically, analyses rely on laborious manual annotation of content and content creators, often found by low-recall methods such as keyword searc...	[]	Train
42,716	17	Title: Differentiable Shadow Mapping for Efficient Inverse Graphics Abstract: We show how shadows can be efficiently generated in differentiable rendering of triangle meshes. Our central observation is that pre-filtered shadow mapping, a technique for approximating shadows based on rendering from the perspective of a l...	[]	Test
42,717	16	Title: GroundNLQ @ Ego4D Natural Language Queries Challenge 2023 Abstract: In this report, we present our champion solution for Ego4D Natural Language Queries (NLQ) Challenge in CVPR 2023. Essentially, to accurately ground in a video, an effective egocentric feature extractor and a powerful grounding model are required...	[ 14466 ]	Train
42,718	16	Title: Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport Abstract: Weakly-supervised image segmentation has recently attracted increasing research attentions, aiming to avoid the expensive pixel-wise labeling. In this paper, we present an effective method, namely Point2Mask, to achieve high-quali...	[]	Test
42,719	16	Title: Variable Length Embeddings Abstract: In this work, we introduce a novel deep learning architecture, Variable Length Embeddings (VLEs), an autoregressive model that can produce a latent representation composed of an arbitrary number of tokens. As a proof of concept, we demonstrate the capabilities of VLEs on task...	[]	Train
42,720	16	Title: Graph Convolutional Networks based on manifold learning for semi-supervised image classification Abstract: nan	[]	Train
42,721	24	Title: Bus Ridership Prediction with Time Section, Weather, and Ridership Trend Aware Multiple LSTM Abstract: Public transportation has been essential in people's lives in recent years. Bus ridership is a factor in people's choice to board the bus. Therefore, from the perspective of improving service quality, it is imp...	[]	Train
42,722	24	Title: Physics-informed radial basis network (PIRBN): A local approximating neural network for solving nonlinear PDEs Abstract: Our recent intensive study has found that physics-informed neural networks (PINN) tend to be local approximators after training. This observation leads to this novel physics-informed radial ba...	[ 17619 ]	Train
42,723	31	Title: PLIERS: a popularity-based recommender system for content dissemination in online social networks Abstract: Online social networks (OSNs) allow users to generate items and tag or rate them in order to help others in the identification of useful content. In this paper, we propose a novel tag-based recommender sys...	[ 33873 ]	Train
42,724	24	Title: Enhancing Short-Term Wind Speed Forecasting using Graph Attention and Frequency-Enhanced Mechanisms Abstract: The safe and stable operation of power systems is greatly challenged by the high variability and randomness of wind power in large-scale wind-power-integrated grids. Wind power forecasting is an effectiv...	[]	Test
42,725	24	Title: Is RLHF More Difficult than Standard RL? Abstract: Reinforcement learning from Human Feedback (RLHF) learns from preference signals, while standard Reinforcement Learning (RL) directly learns from reward signals. Preferences arguably contain less information than rewards, which makes preference-based RL seemingl...	[ 36084, 24853, 4422 ]	Test
42,726	24	Title: MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model Abstract: Due to patient privacy protection concerns, machine learning research in healthcare has been undeniably slower and limited than in other application domains. High-quality, realistic, synthetic electronic health re...	[ 26464, 13219, 684, 17941, 38810 ]	Train
42,727	30	Title: Better Handling Coreference Resolution in Aspect Level Sentiment Classification by Fine-Tuning Language Models Abstract: Customer feedback is invaluable to companies as they refine their products. Monitoring customer feedback can be automated with Aspect Level Sentiment Classification (ALSC) which allows us to a...	[]	Train
42,728	22	Title: Demystifying What Code Summarization Models Learned Abstract: Study patterns that models have learned has long been a focus of pattern recognition research. Explaining what patterns are discovered from training data, and how patterns are generalized to unseen data are instrumental to understanding and advancing ...	[]	Train
42,729	10	Title: Autonomous Capability Assessment of Black-Box Sequential Decision-Making Systems Abstract: It is essential for users to understand what their AI systems can and can't do in order to use them safely. However, the problem of enabling users to assess AI systems with evolving sequential decision making (SDM) capabil...	[]	Test
42,730	24	Title: Coneheads: Hierarchy Aware Attention Abstract: Attention networks such as transformers have achieved state-of-the-art performance in many domains. These networks rely heavily on the dot product attention operator, which computes the similarity between two points by taking their inner product. However, the inner ...	[ 648, 30947 ]	Train
42,731	10	Title: AI Text-to-Behavior: A Study In Steerability Abstract: The research explores the steerability of Large Language Models (LLMs), particularly OpenAI's ChatGPT iterations. By employing a behavioral psychology framework called OCEAN (Openness, Conscientiousness, Extroversion, Agreeableness, Neuroticism), we quantita...	[ 9924, 17668, 33220, 30668, 44173, 10768, 35895, 11544 ]	Train
42,732	24	Title: Clustering with Simplicial Complexes Abstract: In this work, we propose a new clustering algorithm to group nodes in networks based on second-order simplices (aka filled triangles) to leverage higher-order network interactions. We define a simplicial conductance function, which on minimizing, yields an optimal p...	[]	Train
42,733	9	Title: A Critique of Sopin's"${\rm PH} = {\rm PSPACE}$" Abstract: We critique Valerii Sopin's paper"${\rm PH} = {\rm PSPACE}$"[Sop14]. The paper claims to resolve one of the major open problems of theoretical computer science by leveraging the Skolemization of existential quantifiers of quantified boolean formulas to s...	[]	Train
42,734	16	Title: HyperStyle3D: Text-Guided 3D Portrait Stylization via Hypernetworks Abstract: Portrait stylization is a long-standing task enabling extensive applications. Although 2D-based methods have made great progress in recent years, real-world applications such as metaverse and games often demand 3D content. On the other...	[]	Train
42,735	23	Title: Does Asking Clarifying Questions Increases Confidence in Generated Code? On the Communication Skills of Large Language Models Abstract: Large language models (LLMs) have significantly improved the ability to perform tasks in the field of code generation. However, there is still a gap between LLMs being capable c...	[ 31388, 37411, 10502, 23276, 44173, 9038, 4111, 21873, 23159, 16987, 15004 ]	Train
42,736	23	Title: Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation Abstract: Though many deep learning (DL)-based vulnerability detection approaches have been proposed and indeed achieved remarkable performance, they still have limitations in the generalization as w...	[ 30585 ]	Test
42,737	16	Title: Generating coherent comic with rich story using ChatGPT and Stable Diffusion Abstract: Past work demonstrated that using neural networks, we can extend unfinished music pieces while maintaining the music style of the musician. With recent advancements in large language models and diffusion models, we are now cap...	[ 3609, 34074 ]	Validation
42,738	24	Title: Safety Margins for Reinforcement Learning Abstract: Any autonomous controller will be unsafe in some situations. The ability to quantitatively identify when these unsafe situations are about to occur is crucial for drawing timely human oversight in, e.g., freight transportation applications. In this work, we dem...	[]	Train
42,739	24	Title: SQ Lower Bounds for Learning Bounded Covariance GMMs Abstract: We study the complexity of learning mixtures of separated Gaussians with common unknown bounded covariance matrix. Specifically, we focus on learning Gaussian mixture models (GMMs) on $\mathbb{R}^d$ of the form $P= \sum_{i=1}^k w_i \mathcal{N}(\bolds...	[]	Validation
42,740	2	Title: A framework for erased syntax and bidirectional typing Abstract: We introduce CompLF, a logical framework allowing for the definition of computational type theories -- that is, those whose definitional equality is purely generated by rewrite rules. Its main goal is to capture the usual presentation of type theor...	[ 42929, 33170 ]	Train
42,741	17	Title: Neural Face Rigging for Animating and Retargeting Facial Meshes in the Wild Abstract: We propose an end-to-end deep-learning approach for automatic rigging and retargeting of 3D models of human faces in the wild. Our approach, called Neural Face Rigging (NFR), holds three key properties: (i) NFR’s expression spa...	[]	Train
42,742	24	Title: Adam Accumulation to Reduce Memory Footprints of both Activations and Gradients for Large-scale DNN Training Abstract: Running out of GPU memory has become a main bottleneck for large-scale DNN training. How to reduce the memory footprint during training has received intensive research attention. We find that pr...	[]	Train
42,743	24	Title: A Deep Learning Technique to Control the Non-linear Dynamics of a Gravitational-wave Interferometer Abstract: In this work we developed a deep learning technique that successfully solves a non-linear dynamic control problem. Instead of directly tackling the control problem, we combined methods in probabilistic n...	[]	Train
42,744	16	Title: An End-to-End Framework of Road User Detection, Tracking, and Prediction from Monocular Images Abstract: Perception that involves multi-object detection and tracking, and trajectory prediction are two major tasks of autonomous driving. However, they are currently mostly studied separately, which results in most ...	[ 18680 ]	Train
42,745	24	Title: InMyFace: Inertial and Mechanomyography-Based Sensor Fusion for Wearable Facial Activity Recognition Abstract: nan	[ 44672 ]	Train
42,746	27	Title: Collaborative Dynamic 3D Scene Graphs for Automated Driving Abstract: Maps have played an indispensable role in enabling safe and automated driving. Although there have been many advances on different fronts ranging from SLAM to semantics, building an actionable hierarchical semantic representation of urban dyna...	[ 21429, 32358 ]	Validation
42,747	10	Title: A Survey of Hallucination in Large Foundation Models Abstract: Hallucination in a foundation model (FM) refers to the generation of content that strays from factual reality or includes fabricated information. This survey paper provides an extensive overview of recent efforts that aim to identify, elucidate, and ...	[ 28805, 37765, 21127, 38281, 15632, 18707, 44445, 22432, 33961, 9518, 27440, 24760, 44095, 193, 10179, 12874, 7125, 42842, 18284, 25580, 37360, 4466, 29175 ]	Train
42,748	16	Title: Bullying10K: A Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition Abstract: The prevalence of violence in daily life poses significant threats to individuals' physical and mental well-being. Using surveillance cameras in public spaces has proven effective in proactively deterring and preventing...	[]	Test
42,749	16	Title: Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks Abstract: To promote the development of Vision-Language Pre-training (VLP) and multimodal Large Language Model (LLM) in the Chinese community, we firstly release the largest public Chinese high-quality video-lang...	[ 10624, 13700, 37765, 41104, 5361, 30745, 43035 ]	Test
42,750	2	Title: The Stable Model Semantics of Datalog with Metric Temporal Operators Abstract: We introduce negation under the stable model semantics in DatalogMTL – a temporal extension of Datalog with metric temporal operators. As a result, we obtain a rule language which combines the power of answer set programming with th...	[]	Train
42,751	27	Title: Multi-Robot Motion Planning: A Learning-Based Artificial Potential Field Solution Abstract: Motion planning is a crucial aspect of robot autonomy as it involves identifying a feasible motion path to a destination while taking into consideration various constraints, such as input, safety, and performance constrai...	[]	Train
42,752	30	Title: Referral Augmentation for Zero-Shot Information Retrieval Abstract: We propose Referral-Augmented Retrieval (RAR), a simple technique that concatenates document indices with referrals, i.e. text from other documents that cite or link to the given document, to provide significant performance gains for zero-shot i...	[ 32213, 67, 2549 ]	Test
42,753	16	Title: Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification Abstract: Instance-level object re-identification is a fundamental computer vision task, with applications from image retrieval to intelligent monitoring and fraud detection. In this work, we propose the novel task of damaged ...	[]	Train
42,754	24	Title: Physics-informed Neural Network: The Effect of Reparameterization in Solving Differential Equations Abstract: Differential equations are used to model and predict the behaviour of complex systems in a wide range of fields, and the ability to solve them is an important asset for understanding and predicting the b...	[]	Train
42,755	24	Title: Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference Abstract: Large language models (LLMs) based on transformers have made significant strides in recent years, the success of which is driven by scaling up their model size. Despite their high algorithmic performance, the...	[ 25560 ]	Test
42,756	30	Title: Enhancing Chat Language Models by Scaling High-quality Instructional Conversations Abstract: Fine-tuning on instruction data has been widely validated as an effective practice for implementing chat language models like ChatGPT. Scaling the diversity and quality of such data, although straightforward, stands a gr...	[ 40341, 38167, 9499, 8608, 12321, 25892, 29999, 5041, 6328, 33340, 29375, 33220, 35524, 36179, 39642, 29530, 35556, 42993, 44017, 25853 ]	Test
42,757	11	Title: Intelligent Communication Planning for Constrained Environmental IoT Sensing with Reinforcement Learning Abstract: Internet of Things (IoT) technologies have enabled numerous data-driven mobile applications and have the potential to significantly improve environmental monitoring and hazard warnings through the d...	[]	Test
42,758	30	Title: From Local to Global: Navigating Linguistic Diversity in the African Context Abstract: The focus is on critical problems in NLP related to linguistic diversity and variation across the African continent, specifically with regards to African local di- alects and Arabic dialects that have received little attention...	[]	Validation
42,759	17	Title: EvIcon: Designing High-Usability Icon with Human-in-the-loop Exploration and IconCLIP Abstract: Interface icons are prevalent in various digital applications. Due to limited time and budgets, many designers rely on informal evaluation, which often results in poor usability icons. In this paper, we propose a uniq...	[]	Validation
42,760	4	Title: Towards Deep Network Steganography: From Networks to Networks Abstract: With the widespread applications of the deep neural network (DNN), how to covertly transmit the DNN models in public channels brings us the attention, especially for those trained for secret-learning tasks. In this paper, we propose deep net...	[]	Validation
42,761	22	Title: ωPAP Spaces: Reasoning Denotationally About Higher-Order, Recursive Probabilistic and Differentiable Programs Abstract: We introduce a new setting, the category of ωPAP spaces, for reasoning denotationally about expressive differentiable and probabilistic programming languages. Our semantics is general enough to...	[]	Test
42,762	16	Title: CAME: Contrastive Automated Model Evaluation Abstract: The Automated Model Evaluation (AutoEval) framework entertains the possibility of evaluating a trained machine learning model without resorting to a labeled testing set. Despite the promise and some decent results, the existing AutoEval methods heavily rely ...	[]	Train
42,763	6	Title: Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes Abstract: AI technologies continue to advance from digital assistants to assisted decision-making. However, designing AI remains a challenge given its unknown outcomes and uses. One way to expand AI design is by center...	[ 44183, 1657, 33967, 10815 ]	Train
42,764	24	Title: Acceleration in Policy Optimization Abstract: We work towards a unifying paradigm for accelerating policy optimization methods in reinforcement learning (RL) by integrating foresight in the policy improvement step via optimistic and adaptive updates. Leveraging the connection between policy iteration and policy ...	[ 6674, 31723, 2356, 44166 ]	Train
42,765	23	Title: Zero-Shot Learning for Requirements Classification: An Exploratory Study Abstract: Context: Requirements engineering researchers have been experimenting with machine learning and deep learning approaches for a range of RE tasks, such as requirements classification, requirements tracing, ambiguity detection, and ...	[ 10858, 44338 ]	Validation
42,766	30	Title: ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity? Abstract: Recent research on dialog state tracking (DST) focuses on methods that allow few- and zero-shot transfer to new domains or schemas. However, performance gains heavily depend on aggressive data augmentation and fine-tuning of e...	[]	Train
42,767	24	Title: Provably Efficient Learning in Partially Observable Contextual Bandit Abstract: In this paper, we investigate transfer learning in partially observable contextual bandits, where agents have limited knowledge from other agents and partial information about hidden confounders. We first convert the problem to ident...	[ 5914, 16011, 5652 ]	Test
42,768	10	Title: Learning Interpretable Models of Aircraft Handling Behaviour by Reinforcement Learning from Human Feedback Abstract: We propose a method to capture the handling abilities of fast jet pilots in a software model via reinforcement learning (RL) from human preference feedback. We use pairwise preferences over simula...	[]	Validation
42,769	24	Title: Mixed-Integer Projections for Automated Data Correction of EMRs Improve Predictions of Sepsis among Hospitalized Patients Abstract: Machine learning (ML) models are increasingly pivotal in automating clinical decisions. Yet, a glaring oversight in prior research has been the lack of proper processing of Electron...	[]	Test
42,770	16	Title: TRansPose: Large-Scale Multispectral Dataset for Transparent Object Abstract: Transparent objects are encountered frequently in our daily lives, yet recognizing them poses challenges for conventional vision sensors due to their unique material properties, not being well perceived from RGB or depth cameras. Overc...	[]	Validation
42,771	1	Title: Learning Causality-inspired Representation Consistency for Video Anomaly Detection Abstract: Video anomaly detection is an essential yet challenging task in the multimedia community, with promising applications in smart cities and secure communities. Existing methods attempt to learn abstract representations of ...	[ 21508, 43945, 19211, 5619, 14677, 2453, 17878, 19871 ]	Train
42,772	31	Title: Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation Abstract: Recommendation models are typically trained on observational user interaction data, but the interactions between latent factors in users' decision-making processes lead to complex and entangled data. Disentangli...	[]	Train
42,773	26	Title: Trustworthiness-Driven Graph Convolutional Networks for Signed Network Embedding Abstract: The problem of representing nodes in a signed network as low-dimensional vectors, known as signed network embedding (SNE), has garnered considerable attention in recent years. While several SNE methods based on graph convo...	[ 28959 ]	Train
42,774	24	Title: Towards Automated Design of Riboswitches Abstract: Experimental screening and selection pipelines for the discovery of novel riboswitches are expensive, time-consuming, and inefficient. Using computational methods to reduce the number of candidates for the screen could drastically decrease these costs. However, ...	[]	Test
42,775	30	Title: Detecting and Mitigating Hallucinations in Multilingual Summarisation Abstract: Hallucinations pose a significant challenge to the reliability of neural models for abstractive summarisation. While automatically generated summaries may be fluent, they often lack faithfulness to the original document. This issue b...	[ 29755, 30085, 38102 ]	Train
42,776	16	Title: Nonlinear Hyperspectral Unmixing based on Multilinear Mixing Model using Convolutional Autoencoders Abstract: Unsupervised spectral unmixing consists of representing each observed pixel as a combination of several pure materials called endmembers with their corresponding abundance fractions. Beyond the linear as...	[]	Train
42,777	16	Title: Convolutional Neural Networks Trained to Identify Words Provide a Surprisingly Good Account of Visual Form Priming Effects Abstract: nan	[]	Train

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